AI Medical Compendium

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health Aug 4, 2025

BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more

Humans COVID-19 SARS-CoV-2 Spatio-Temporal Analysis Respiratory Tract Infections Virus Diseases

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Head & neck Aug 4, 2025

PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carci... read more

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Aug 4, 2025

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more

Humans Neural Networks, Computer RNA Electrophoresis Microfluidic Analytical Techniques RNA, Double-Stranded

Deep Learning Reconstruction for T2 Weighted Turbo-Spin-Echo Imaging of the Pelvis: Prospective Comparison With Standard T2-Weighted TSE Imaging With Respect to Image Quality, Lesion Depiction, and Acquisition Time.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 4, 2025

PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more

Enhancing Captive Welfare Management with Deep Learning: Video-Based Detection of Gibbon Behaviors Using YOWOvG.

Journal of applied animal welfare science : JAAWS Aug 4, 2025

Accurate monitoring of animal behavior is critical for assessing welfare and informing conservation strategies for vulnerable species like the eastern hoolock gibbon (). To overcome limitations of manual observation and single-frame analysis in capti... read more

The state of the art in artificial intelligence and digital pathology in prostate cancer.

Nature reviews. Urology Aug 4, 2025

Prostate cancer is among the most common cancers worldwide, with ~1.5 million new diagnoses globally every year. The sheer mass of data becoming available on prostate cancer, as well as other types of cancer, is increasing exponentially. The growth o... read more

Digital Twin Technology In Radiology.

Journal of imaging informatics in medicine Aug 4, 2025

A digital twin is a computational model that provides a virtual representation of a specific physical object, system, or process and predicts its behavior at future time points. These simulation models form computational profiles for new diagnosis an... read more

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ... read more

Humans Machine Learning Algorithms Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Sepsis Cohort Studies Time Factors Morbidity Hip Fractures

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst Aug 4, 2025

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer... read more

Humans Machine Learning Biomarkers Female Aged Male Middle Aged Diabetes Mellitus, Type 2 Support Vector Machine Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Gases Breath Tests Exhalation Diabetes Complications Butadienes Hemiterpenes

Use of Artificial Intelligence in Psychiatric Research and Practice - A Qualitative Interview Study with Experts from Psychiatry, Computer Science and Philosophy in Germany.

European psychiatry : the journal of the Association of European Psychiatrists Aug 4, 2025

Artificial Intelligence Medical Compendium